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A Method for Image Reconstruction with Improved Noise Variance Estimation

A noise variance estimation and image reconstruction technology, applied in the field of image processing, can solve problems affecting the quality of reconstructed images, inaccurate estimation, etc., and achieve the effects of increasing accuracy, improving quality, and accurately evaluating

Active Publication Date: 2018-08-14
NANJING UNIV OF POSTS & TELECOMM
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The purpose of the present invention is to provide an image reconstruction method for improving noise variance estimation, so as to solve the inaccurate estimation of the original noise variance and affect the quality of the reconstructed image

Method used

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  • A Method for Image Reconstruction with Improved Noise Variance Estimation
  • A Method for Image Reconstruction with Improved Noise Variance Estimation
  • A Method for Image Reconstruction with Improved Noise Variance Estimation

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Embodiment Construction

[0045] The invention will be described in further detail below in conjunction with the accompanying drawings.

[0046] Such as figure 1 As shown, a method of image reconstruction for improved noise variance estimation, the method includes the following steps:

[0047] Input parameters: original image, block measurement matrix Φ B , block sparse matrix Ψ B , threshold parameter λ, termination threshold ε, sampling rate r, measurement block signal y j , j=0,1,...,255.

[0048] Initialization: i=0, D (0) = 0, j=0,1,...,255

[0049] Preprocessing: the original image size is 512×512, the image block x j The size is 32×32, where j=0,1,…,255. According to the image block x j variance The size of the value judges the complexity of the image block texture, and sets the block texture value δ j ,As follows:

[0050]

[0051] Iterative process, including:

[0052]Step 1: Use the sparse matrix Ψ B For image block x j to transform, that is

[0053]

[0054] in is t...

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Abstract

The invention discloses an image reconstruction design method improving noise variance estimation. The method comprises the following steps of step1, using a sparse matrix psi B to convert an image block xj; step2, carrying out noise variance estimation; step3, carrying out image coefficient estimation; step4, carrying out Lanweber continuous projection on each block image so as to reconstruct the image; step5, determining whether the projection reconstruction block image satisfies a termination criterion. In the method, during a compression perception reconstruction image process, an image block texture characteristic, a sparse conversion type and an image sampling rate are used to improve the noise variance estimation; the estimated noise variance is substituted into a bivariate threshold projection reconstruction algorithm so as to reconstruct a compressed image and quality of the reconstruction image is increased.

Description

technical field [0001] The invention relates to an image reconstruction method for improving noise variance estimation, which belongs to the technology in the field of image processing. Background technique [0002] In the past few decades, with the continuous enhancement of the sensor system's ability to process data, the processing of data volume has continued to increase, while the traditional Nyquist sampling theorem requires that the sampling of the signal is greater than or equal to two times the signal bandwidth. times, these requirements put forward higher requirements for signal processing capabilities, and also bring corresponding great challenges to hardware devices. In recent years, Compressed Sensing (CS for short) has broken through the traditional Nyquist sampling theorem and realized the transformation of the sampling method, that is, from signal sampling to information sampling, which has caused a sensation in academia and industry. more and more attention....

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T11/00G06T5/00
Inventor 张登银沈洪泉
Owner NANJING UNIV OF POSTS & TELECOMM